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FaceReader 10 - Vital Signs White Paper - Applications

Last updated: Jul 31, 2026

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Measuring Vital Signs with FaceReader

References

  1. A. Gudi, M. Bittner, and J. van Gemert (2020). Real-time webcam heart-rate and variability estimation with clean ground truth for evaluation. Applied Sciences, vol. 10 (23), p. 8630, doi: 10.3390/app10238630.
  2. A. Deo Mehta and H. Sharma. (2023). OPOIRES: A robust non-contact respiratory rate extraction based on optimal points-of-interest selection from an RGB camera. Biomedical Signal Processing and Control, vol. 86, p. 105193, doi: 10.1016/j.bspc.2023.105193.
  3. X. Li, J. Chen, G. Zhao, and M. Pietikainen. (2014). Remote heart rate measurement from face videos under realistic situations, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4264–4271.
  4. M.-Z. Poh, D. J. McDuff, and R. W. Picard. (2010). Non-contact, automated cardiac pulse measurements using video imaging and blind source separation. Optics Express, vol. 18 (10), pp. 10762–10774.
  5. H. Demirezen and C. E. Erdem. (2018). Remote photoplethysmography using nonlinear mode decomposition, in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, pp. 1060–1064.
  6. W. Wang, S. Stuijk, and G. De Haan. (2015). A novel algorithm for remote photoplethysmography: Spatial subspace rotation. IEEE Transactions on Biomedical Engineering, vol. 63 (9), pp. 1974–1984.
  7. G. De Haan and V. Jeanne (2013). Robust pulse rate from chrominance-based rPPG. IEEE Transactions on Biomedical Engineering, vol. 60 (10), pp. 2878–2886.
  8. M. Finžgar and P. Podržaj (2020). Feasibility of assessing ultra-short-term pulse rate variability from video recordings. PeerJ, vol. 8, p. e8342.
  9. L. Tarassenko, M. Villarroel, A. Guazzi, J. Jorge, D. A. Clifton, and C. Pugh. (2014). Non-contact video-based vital sign monitoring using ambient light and auto-regressive models. Physiological Measurement, 35 (5), 807. https://doi.org/10.1088/0967-3334/35/5/807.
  10. M.-Z. Poh, D. J. McDuff, and R. W. Picard. (2010). Advancements in noncontact, multiparameter physiological measurements using a webcam. IEEE Transactions on Biomedical Engineering, 58 (1), 7–11.
  11. A. D. Metha and H. Sharma. (2020). Tracking nostril movement in facial video for respiratory rate estimation. In International Conference on Computing, Communication and Networking Technologies (ICCCNT), 1–6. https://doi.org/10.1109/ICCCNT49239.2020.9225464.
  12. C. Massaroni, E. Schena, S. Silvestri, and M. Soumyajyoti. (2019). Comparison of two methods for estimating respiratory waveforms from videos without contact. In IEEE International Symposium on Medical Measurements and Applications (MeMeA), 1–6. https://doi.org/10.1109/MeMeA.2019.8802167.

Contact Information

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Noldus Information Technology bv
Wageningen, The Netherlands
Phone: +31-317-473300
Email: [email protected]

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Leesburg, VA, USA
Phone: +1-703-771-0440
Toll-free: 1-800-355-9541
Email: [email protected]

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Source: EthoVision XT 18 - THC - Trial and Hardware Control, Noldus Information Technology

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